资源列表
MCMC
- 详解介绍MCMC，Gibbs抽样和MH算法，找这么多天最详细的-Detailed descr iption MCMC, Gibbs sampling and MH algorithm to find the most detailed so many days
htl4ic
- 使用新兴的机器学习方法：迁移学习进行图片分类，分类效果明显提高。-Use the emerging machine learning methods: migration study carried pictures segments, segment results improved significantly.
rengong2
- 师兄的人工势场法避障实验代码，绝对好用，代码精炼，注释全-Brother of artificial potential field obstacle avoidance test code, absolutely everything, code refining, notes the whole
psoSVMcgForRegress
- 一种基于粒子群参数优化算法的支持向量机，用于数据的回归分析-Particle swarm optimization algorithm based on the parameters of support vector machine for regression analysis of data
TSPLIB
- 蚁群算法解决TSP问题时用到的城市数据，经过整理，可以直接调用。-Ant colony algorithm to solve TSP problem when the data used in the city, after finishing, you can call directly.
CNN-code
- 深度学习CNN网络，有详细的注释,非常好的参考资料-Depth study CNN network, there are detailed notes, very good reference
DBN-code
- 深度学习DBN网络，使用MATLAB，有详细的注释-DBN deep learning network, using MATLAB, there are detailed notes
AFSA
- 基于C语言的人工鱼群算法实现及其基于EasyX的仿真实现，至于EasyX的使用，请浏览www.easyX.com-(AFSA based on the C language implementation and its simulation based EasyX realize, as EasyX use, please visit www.easyX.com)
exp15_svdd
- 高斯核支持向量数据描述（SVDD）方法的源代码 -the code of gauss kernel support vector data descr iption
Forest-Fires-Data-Set
- 森林火灾数据集，可作为 数 据 挖 掘 的数据库-Forest fires dataset can be used as data mining database
MPF-vs-PHD
- 边缘粒子滤波（MPF）将状态方程中线性部分和非线性部分分别用卡尔曼滤波和粒子滤波进行估计，可以提高跟踪的精度，所以将其引入到PF-PHD滤波中，将二者接合起来，以提高PF-PHD滤波的跟踪精度。MPF-PHD滤波可以很好的提高跟踪的精度，抗干扰能力强，具有良好的鲁棒性。-Because of that MPF use KLAM and PSO to evaluate,which can achieve higher accurty.combing MPF and PF-PHD can achie
Hand-gesture-recognition
- 这是一个用python写的手势识别的算法，是现在目标识别中非常重要的一个研究的领域-this is a code based on python, which is used for figure pose recognition